QA Orchestrator MCP server

QA Orchestrator is a helper for code reviews. It gives your AI a set way to look at a change, with checklists and specialist roles, so the review follows the same steps every time. It is handy for developers and QA people who want their AI reviews to be organized instead of a loose chat.

What this MCP server does

You ask your AI to review a code change. Your AI opens this helper and picks a review route, like a single specialist or a small team of them. The helper hands back a plan with steps and checklists. Your AI works through those steps and writes up what it found. Then you get a structured report back in your chat, with the evidence and the final call made by your AI.

What you can do with it

• Review a change with one focused profile, like Ruby or security
• Run a group of reviewers at once for a broader look
• Check test coverage and find missing assertions
• Hunt for swallowed errors and silent failures
• Ask for a final sweep that looks for anything missed
• Keep a pinned record of the exact code version reviewed
• Recover or list past review sessions

Try asking your AI

• “Review this Ruby guard change with the ruby reviewer”
• “Run the security bundle on my branch and tell me what you find”
• “Check whether my React component tests cover the new state logic”
• “Do a Python backend review on this diff and flag anything risky”

What it gives back to you

You get a structured review report in the chat. It lists candidate issues, coverage gaps, and things that could not be verified. Each accepted finding comes with a severity, the affected area, and where in the code it points. Your AI shows the final decision and the evidence behind it.

Before you start

Who it's for

Developers, QA engineers, and tech leads who want their AI code reviews to follow a repeatable process with a clear record.

Jobs it suits